Abstract
We probe the effects of solvent quality and charge patterning on polyelectrolyte adsorption in shear flow using Brownian dynamics simulations with hydrodynamic interaction (HI). The polyelectrolyte is modeled as a freely jointed bead-rod chain, and electrostatic and non-electrostatic interactions are accounted for by using screened Coulombic and Lennard-Jones potentials, respectively. In the absence of flow, the conformation of a polyelectrolyte molecule adsorbed onto a uniformly charged surface changes from flat to globular with an increase in bead-bead attraction (hydrophobicity), consistent with prior experimental observations. In the presence of flow, migration due to bead-wall HI and, as a consequence, desorption decrease with an increase in bead-bead attraction, implying that flow-induced desorption is more difficult under poor-solvent conditions. When bead-bead non-electrostatic attraction is strong, desorption can be enhanced by increasing bead-bead electrostatic repulsion. Analogous to the effect of bead-surface electrostatic attraction, an increase in the strength of bead-surface non-electrostatic attraction reduces desorption. We also study the effect of shear flow on the adsorption of a polyelectrolyte molecule onto surfaces decorated with periodic arrays of charged patches. An increase in patch periodicity increases desorption even when the effective surface charge density is kept the same. The results of this work suggest mechanisms for controlling the desorption of polyelectrolyte molecules in shear flows.
| Original language | English (US) |
|---|---|
| Article number | 164907 |
| Journal | Journal of Chemical Physics |
| Volume | 128 |
| Issue number | 16 |
| DOIs | |
| State | Published - 2008 |
Bibliographical note
Funding Information:We are grateful for resources from the University of Minnesota Supercomputing Institute. This material is based upon work supported in part by the U.S. Army Research Laboratory and the U.S. Army Research Office under Grant No. W911-NF-04-1-0265. Our work was also supported in part by the Army High Performance Computing Research Center under the auspices of the Department of the Army, Army Research Laboratory (ARL) under Cooperative Agreement No. DAAD19-01-2-0014. The content does not necessarily reflect the position or policy of the government, and no official endorsement should be inferred.
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